Fields of competence
ROBOTNOR represents a unique synergy of academic and industrial expertise which allows us to counsel and comprehend a wide variety of tasks and projects. Our fields of competence are numerous and diverse.
Collision detection and avoidance are crucial components in any moving system that needs to interact with its environment in some “intelligent” way. Examples of such systems are numerous and include, e.g., mobile robots for transportation at hospitals, robot manipulators working in cooperation with humans, and domestic service robots.
ROBOTNOR has expertise within several areas of collision detection and avoidance for robots:
Mainly aiming at automatic control systems within manufacturing and production, the integration of planning, scheduling, […]
Often one sensor or one measurement principle can not capture all the information needed to […]
These webpages have just been launched and will be continuously updated during the coming weeks. […]
In order for robots to navigate and interact more like humans in complex environments, manipulating […]
Machine vision is an essential part of most robotic system and is generally described as […]
Mobile robot manipulators (mobile robots with one or more attached manipulator arms) will be prevalent […]
Launched in 2009, this project aims to develop the next generation robotic technology for Norwegian […]
Kulko is an experimental platform for investigating snake robot locomotion in environments with obstacles. Locomotion […]
Researchers at ROBOTNOR have spent the last two years refining the design of our new […]
S. A. Fjerdingen, M. Bjerkeng, A. A. Transeth, E. Kyrkjebø, A. Røyrøy: “A Learning Camera Platform for Remote Operations with Industrial Manipulators”, in IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, 2012.